Network neuroscience is a thriving and rapidly expanding field. Empirical data on brain
networks, from molecular to behavioral scales, are ever increasing in size and complexity …

The fundamental importance of prefrontal cortical connectivity to information processing and,
therefore, disorders of cognition, emotion, and behavior has been recognized for decades …

Network neuroscience has relied on a node-centric network model in which cells,
populations and regions are linked to one another via anatomical or functional connections …

Motivated by prior data on local cortical shrinkage and intracortical myelination, we
predicted age-related changes in topological organization of cortical structural networks …

Seminal human brain histology work has demonstrated developmental waves of
myelination. Here, using a micro-structural magnetic resonance imaging (MRI) marker linked …

The human brain can be described as a complex network of anatomical connections
between distinct areas, referred to as the human connectome. Fundamental characteristics …

Previous studies made progress in the early diagnosis of Alzheimer's disease (AD) using
electroencephalography (EEG) without considering EEG connectivity. To fill this gap, we …

Gifted children learn more rapidly and effectively than others, presumably due to
neurophysiological differences that affect efficiency in neuronal communication. Identifying …

Most neuroimaging studies of post-stroke recovery rely on analyses derived from standard
node-centric functional connectivity to map the distributed effects in stroke patients. Here …

Primate cortical evolution has been characterized by massive and disproportionate
expansion of a set of specific regions in the neocortex. The associated increase in …